On permutation symmetries in Bayesian neural network posteriors: a variational perspective

Simone Rossi, Ankit Singh, Thomas Hannagan

The elusive nature of gradient-based optimization in neural networks is tied to their loss landscape geometry, which is poorly understood. However recent work has brought solid evi…